Frontier AI Labs Engagement Lead

NVIDIA Corporation

France

Remote

USD 150,000 - 230,000

Full time

14 days+

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Job summary

NVIDIA Corporation is seeking a technically strong Technical Engagement Lead to collaborate with frontier AI labs and model builders. You will connect AI research, infrastructure, product strategy, and partner engagement to shape NVIDIA’s platform usage from GPUs to software libraries.

Responsibilities include leading technical engagements, tracking AI developments, and driving platform integration with CUDA, PyTorch, and related technologies, while influencing the platform roadmap and

Qualifications

  • Bachelor's degree or higher in CS/EE/ML or related field.
  • 8+ years in AI research, infrastructure, etc.
  • Strong understanding of frontier AI research and workloads.
  • Experience with large GPU clusters, high‑speed networking, distributed storage.

Responsibilities

  • Lead technical engagements with frontier AI labs and model builders.
  • Track latest AI developments and translate into NVIDIA opportunities.
  • Define future workloads and early engagement before architecture decisions.
  • Drive platform integration of NVIDIA GPUs, CUDA, and software libraries across pipelines.
  • Influence NVIDIA's platform roadmap based on partner requirements and patterns.
  • Draft collaboration agreements and coordinate across NVIDIA teams.

Skills

AI research
Distributed systems
GPU computing
Product management
Technical communication

Education

Bachelor's degree in CS/EE/ML
Advanced degree preferred

Tools

CUDA
CUDA-X
NCCL
PyTorch
JAX
TensorRT-LLM
NeMo
Transformer Engine
vLLM
SGLang

Job description

NVIDIA Corporation is seeking a technically strong Technical Engagement Lead to collaborate with frontier AI labs and model builders. You will connect AI research, infrastructure, product strategy, and partner engagement to shape NVIDIA’s platform usage from GPUs to software libraries.

Responsibilities include leading technical engagements, tracking AI developments, and driving platform integration with CUDA, PyTorch, and related technologies, while influencing the platform roadmap and

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